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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Do all roads lead to Rome? A comparison of knowledge-based, data-driven, and physics-based surrogate models for performance-based early design
Mohsen Zaker Esteghamati, Madeleine M. Flint
Engineering Structures (2023) Vol. 286, pp. 116098-116098
Open Access | Times Cited: 18

Showing 18 citing articles:

Optimizing Machine Learning Algorithms for Improving Prediction of Bridge Deck Deterioration: A Case Study of Ohio Bridges
Armin Rashidi Nasab, Hazem Elzarka
Buildings (2023) Vol. 13, Iss. 6, pp. 1517-1517
Open Access | Times Cited: 36
An explainable artificial-intelligence-aided safety factor prediction of road embankments
Azam Abdollahi, Deli Li, Jian Deng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108854-108854
Open Access | Times Cited: 9
Application of Data-Driven Surrogate Models in Structural Engineering: A Literature Review
Delbaz Samadian, Imrose B. Muhit, Nashwan Dawood
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 9
A universal tool for estimating monthly solar radiation on tilted surfaces from horizontal measurements: A machine learning approach
Bilal Rinchi, Osama Ayadi, Sameer Al‐Dahidi, et al.
Energy Conversion and Management (2024) Vol. 314, pp. 118703-118703
Closed Access | Times Cited: 5
Development of Hybrid Machine Learning Models for Predicting Permanent Transverse Displacement of Circular Hollow Section Steel Members under Impact Loads
Sy Hung, Duc Hanh Nguyên, Viet‐Linh Tran, et al.
Buildings (2023) Vol. 13, Iss. 6, pp. 1384-1384
Open Access | Times Cited: 12
Machine learning‐based peak ground acceleration models for structural risk assessment using spatial data analysis
Nadia Saleem, Sujith Mangalathu, Bilal Ahmed, et al.
Earthquake Engineering & Structural Dynamics (2023) Vol. 53, Iss. 1, pp. 152-178
Open Access | Times Cited: 11
Data-driven modeling using system dynamics simulation to provide relief in earthquake based on different scenarios
Hassan Ahmadi Choukolaei, Mustafa Jahangoshai Rezaee, Peiman Ghasemi
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 24, pp. 35266-35282
Closed Access | Times Cited: 2
Probabilistic Shear Strength Prediction for Deep Beams Based on Bayesian-Optimized Data-Driven Approach
Mao-Yi Liu, Zheng Li, Hang Zhang
Buildings (2023) Vol. 13, Iss. 10, pp. 2471-2471
Open Access | Times Cited: 7
Leveraging machine learning techniques to support a holistic performance-based seismic design of civil structures
Mohsen Zaker Esteghamati
Elsevier eBooks (2024), pp. 25-49
Closed Access | Times Cited: 1
A Knowledge Graph-Based Approach to Recommending Low-Carbon Construction Schemes of Bridges
Zhonggang Ma, Siteng Zhang, Jia He, et al.
Buildings (2023) Vol. 13, Iss. 5, pp. 1352-1352
Open Access | Times Cited: 4
Integrated Methods for Selecting Construction Foundation Type Based on Using a Value Engineering Principle
Naif M. Alsanabani, Khalid S. Al-Gahtani, Abdulrahman A. Bin Mahmoud, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 8547-8547
Open Access | Times Cited: 3
Evaluating the impact of higher-mode and inelastic dynamic responses of concrete frames on the performance of seismic intensity measures
Mohsen Zaker Esteghamati, Qindan Huang
Structures (2023) Vol. 56, pp. 105029-105029
Closed Access | Times Cited: 3
A Reliability-Based Decision Support System for Resilient and Sustainable Early Design
Mohsen Zaker Esteghamati, Adrián Rodríguez-Marek, Madeleine M. Flint
American Society of Civil Engineers eBooks (2023), pp. 177-228
Closed Access | Times Cited: 3
A Data-Driven Approach to Evaluate the Compressive Strength of Recycled Aggregate Concrete
Henry Barth, S. Banerji, Matthew P. Adams, et al.
(2023), pp. 433-441
Closed Access | Times Cited: 2
A simplified model for seismic risk assessment of three-dimensional irregular steel moment frame buildings
رضا اسماعیل زاده شهری, Sassan Eshghi
Journal of Building Engineering (2024) Vol. 97, pp. 110813-110813
Closed Access
A rcGAN-based surrogate model for nonlinear seismic response analysis and optimization of steel frames
Jiming Liu, Liping Duan, Yuheng Jiang, et al.
Engineering Structures (2024) Vol. 323, pp. 119199-119199
Closed Access
Efficiency and explainability of design‐oriented machine learning models to estimate seismic response, fragility, and loss of a steel building inventory
Mohsen Zaker Esteghamati, Shivalinga Baddipalli
Earthquake Engineering & Structural Dynamics (2024)
Closed Access
Decision Support Systems in Architecture—A Future Perspective
Gerhard Schubert, Ivan Bratoev, Frank Petzold
Buildings (2023) Vol. 13, Iss. 8, pp. 1952-1952
Open Access
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